Metadata: Surficial Geology of the South-Western Mauricie

This metadata document complies to North American Profile of ISO19115:2003 - Geographic information - Metadata. You can also get this document in . For more information about this standard, visit http://nap.geogratis.gc.ca/.

Identification

Abstract

This dataset presents surficial geology of the south-western Mauricie. The study area covers the 17 municipalities of the Maskinongé MRC, Trois-Rivieres and Shawinigan cities and the Notre-Dame-du-Mont-Carmel municipality. The surficial sediments are composed of five major units: glacial, glaciofluvial, marine, lacustrines sediments and the sediments issued of the other units reworking.Status:completed

Quality

Lineage

Date lineageLineage is the description of the sources and steps used to create the current dataset.

IntroductionGeneral process description

Process step

Sources

The dataset comes from the Geologie_Quaternaire file of the MAUR_UQTR.gdb geodatabase. The descriptions are from the final report for the project '' Caractérisation hydrogéologique du sud-ouest de la Mauricie'' that was submitted to the Ministère du Développement durable, de l'Environnement et des Parcs.
Surfical geology unit were reclassified according to Geological Survey of Canada standard surficial geology legend (http://dx.doi.org/10.4095/290144) when it was possible - with the understanding that some units might not perfectly match in the new classification. The original classification is kept in the dataset.

The dataset comes from the Geologie_Quaternaire file of the MAUR_UQTR.gdb geodatabase. The descriptions are from the final report for the project '' Caractérisation hydrogéologique du sud-ouest de la Mauricie'' that was submitted to the Ministère du Développement durable, de l'Environnement et des Parcs. Surfical geology unit were reclassified according to Geological Survey of Canada standard surficial geology legend (http://dx.doi.org/10.4095/290144) when it was possible - with the understanding that some units might not perfectly match in the new classification. The original classification is kept in the dataset.